Network reification as a unified approach to represent network adaptation principles within a network

DOI10.1007/978-3-030-04070-3_27zbMath1522.68483OpenAlexW2901666904MaRDI QIDQ6049069

Jan Treur

Publication date: 16 October 2023

Published in: Theory and Practice of Natural Computing (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/1871.1/fbfe418f-9eb7-407d-98c5-26ea52b8eda2

zbMATH Keywords

network reificationadaptation principle

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Cognitive psychology (91E10) Memory and learning in psychology (91E40)

Related Items (1)

Who am I really: an adaptive network model addressing mental models for self-referencing, self-awareness and self-interpretation

Cites Work

• Network-oriented modeling. Addressing complexity of cognitive, affective and social interactions
• Operators vs. arguments: The ins and outs of reification
• Prolegomena to a theory of mechanized formal reasoning
• Mathematical formulations of Hebbian learning
• Emergence of Scaling in Random Networks
• Models for network evolution
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